QUick EDA on vestiairecollective.com

Dataset statistics

Number of variables	14
Number of observations	98913
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	91012
Duplicate rows (%)	92.0%
Total size in memory	42.8 MiB
Average record size in memory	453.6 B

Variable types

Categorical	6
Numeric	8

Warnings

`Users` has constant value "Users"	Constant
Dataset has 91012 (92.0%) duplicate rows	Duplicates
`seller` is highly correlated with `Users`	High correlation
`Social use` is highly correlated with `Users`	High correlation
`A_user` is highly correlated with `Users`	High correlation
`Users` is highly correlated with `seller` and 4 other fields	High correlation
`language` is highly correlated with `Users`	High correlation
`Buyer` is highly correlated with `Users`	High correlation
`socialNbFollowers` is highly skewed (γ1 = 88.81691016)	Skewed
`socialNbFollows` is highly skewed (γ1 = 220.8766787)	Skewed
`socialProductsLiked` is highly skewed (γ1 = 244.1577429)	Skewed
`productsListed` is highly skewed (γ1 = 64.89321853)	Skewed
`productsSold` is highly skewed (γ1 = 41.59563253)	Skewed
`productsWished` is highly skewed (γ1 = 49.25695941)	Skewed
`productsBought` is highly skewed (γ1 = 84.79735987)	Skewed
`socialProductsLiked` has 82987 (83.9%) zeros	Zeros
`productsListed` has 97189 (98.3%) zeros	Zeros
`productsSold` has 96877 (97.9%) zeros	Zeros
`productsPassRate` has 97979 (99.1%) zeros	Zeros
`productsWished` has 89612 (90.6%) zeros	Zeros
`productsBought` has 93494 (94.5%) zeros	Zeros

Reproduction

Analysis started	2021-04-01 10:26:38.412366
Analysis finished	2021-04-01 10:28:11.904484
Duration	1 minute and 33.49 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

language
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 MiB

en	51564
fr	26372
it	7766
de	7178
es	6033

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	197826
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	en
2nd row	en
3rd row	fr
4th row	en
5th row	en

Value	Count	Frequency (%)
en	51564	52.1%
fr	26372	26.7%
it	7766	7.9%
de	7178	7.3%
es	6033	6.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
en	51564	52.1%
fr	26372	26.7%
it	7766	7.9%
de	7178	7.3%
es	6033	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	197826	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197826	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197826	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	64775	32.7%
n	51564	26.1%
f	26372	13.3%
r	26372	13.3%
i	7766	3.9%
t	7766	3.9%
d	7178	3.6%
s	6033	3.0%

socialNbFollowers
Real number (ℝ_≥0)

SKEWED

Distinct	90
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.432268761
Minimum	3
Maximum	744
Zeros	0
Zeros (%)	0.0%
Memory size	772.9 KiB

Quantile statistics

Minimum	3
5-th percentile	3
Q1	3
median	3
Q3	3
95-th percentile	5
Maximum	744
Range	741
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.882383028
Coefficient of variation (CV)	1.131141906
Kurtosis	14415.30703
Mean	3.432268761
Median Absolute Deviation (MAD)	0
Skewness	88.81691016
Sum	339496
Variance	15.07289798
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	84939	85.9%
4	8219	8.3%
5	2720	2.7%
6	813	0.8%
7	539	0.5%
8	336	0.3%
9	235	0.2%
10	164	0.2%
11	121	0.1%
12	99	0.1%
Other values (80)	728	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	84939	85.9%
4	8219	8.3%
5	2720	2.7%
6	813	0.8%
7	539	0.5%
8	336	0.3%
9	235	0.2%
10	164	0.2%
11	121	0.1%
12	99	0.1%

Value	Count	Frequency (%)
744	1	< 0.1%
353	1	< 0.1%
205	1	< 0.1%
176	1	< 0.1%
172	1	< 0.1%
167	2	< 0.1%
147	1	< 0.1%
137	1	< 0.1%
131	1	< 0.1%
130	1	< 0.1%

socialNbFollows
Real number (ℝ_≥0)

SKEWED

Distinct	85
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.42567711
Minimum	0
Maximum	13764
Zeros	39
Zeros (%)	< 0.1%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	8
Maximum	13764
Range	13764
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	52.83957192
Coefficient of variation (CV)	6.271255262
Kurtosis	52718.3891
Mean	8.42567711
Median Absolute Deviation (MAD)	0
Skewness	220.8766787
Sum	833409
Variance	2792.02036
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	94893	95.9%
9	2386	2.4%
10	618	0.6%
11	260	0.3%
12	148	0.1%
13	94	0.1%
15	55	0.1%
14	53	0.1%
7	52	0.1%
0	39	< 0.1%
Other values (75)	315	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39	< 0.1%
1	5	< 0.1%
2	8	< 0.1%
3	6	< 0.1%
4	11	< 0.1%
5	11	< 0.1%
6	7	< 0.1%
7	52	0.1%
8	94893	95.9%
9	2386	2.4%

Value	Count	Frequency (%)
13764	1	< 0.1%
8268	1	< 0.1%
3649	1	< 0.1%
2013	1	< 0.1%
500	1	< 0.1%
482	1	< 0.1%
450	1	< 0.1%
431	1	< 0.1%
421	1	< 0.1%
209	1	< 0.1%

socialProductsLiked
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	420
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.420743482
Minimum	0
Maximum	51671
Zeros	82987
Zeros (%)	83.9%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	8
Maximum	51671
Range	51671
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	181.0305695
Coefficient of variation (CV)	40.95025423
Kurtosis	67765.24122
Mean	4.420743482
Median Absolute Deviation (MAD)	0
Skewness	244.1577429
Sum	437269
Variance	32772.06708
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	82987	83.9%
1	5261	5.3%
2	1898	1.9%
3	1215	1.2%
4	973	1.0%
5	644	0.7%
6	532	0.5%
7	436	0.4%
8	359	0.4%
9	316	0.3%
Other values (410)	4292	4.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	82987	83.9%
1	5261	5.3%
2	1898	1.9%
3	1215	1.2%
4	973	1.0%
5	644	0.7%
6	532	0.5%
7	436	0.4%
8	359	0.4%
9	316	0.3%

Value	Count	Frequency (%)
51671	1	< 0.1%
16040	1	< 0.1%
7044	1	< 0.1%
5979	1	< 0.1%
5598	1	< 0.1%
5595	1	< 0.1%
5109	1	< 0.1%
3037	1	< 0.1%
2942	1	< 0.1%
2823	1	< 0.1%

productsListed
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	65
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.09330421684
Minimum	0
Maximum	244
Zeros	97189
Zeros (%)	98.3%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	244
Range	244
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.050143546
Coefficient of variation (CV)	21.97267835
Kurtosis	5760.301256
Mean	0.09330421684
Median Absolute Deviation (MAD)	0
Skewness	64.89321853
Sum	9229
Variance	4.203088557
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	97189	98.3%
1	808	0.8%
2	278	0.3%
3	150	0.2%
4	98	0.1%
5	62	0.1%
6	45	< 0.1%
7	40	< 0.1%
8	29	< 0.1%
10	22	< 0.1%
Other values (55)	192	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	97189	98.3%
1	808	0.8%
2	278	0.3%
3	150	0.2%
4	98	0.1%
5	62	0.1%
6	45	< 0.1%
7	40	< 0.1%
8	29	< 0.1%
9	20	< 0.1%

Value	Count	Frequency (%)
244	1	< 0.1%
217	1	< 0.1%
202	1	< 0.1%
185	1	< 0.1%
123	1	< 0.1%
122	1	< 0.1%
117	2	< 0.1%
113	1	< 0.1%
102	1	< 0.1%
96	1	< 0.1%

productsSold
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1215917018
Minimum	0
Maximum	174
Zeros	96877
Zeros (%)	97.9%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	174
Range	174
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.126895354
Coefficient of variation (CV)	17.49210943
Kurtosis	2355.673441
Mean	0.1215917018
Median Absolute Deviation (MAD)	0
Skewness	41.59563253
Sum	12027
Variance	4.523683846
Monotocity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	96877	97.9%
1	917	0.9%
2	325	0.3%
3	154	0.2%
4	124	0.1%
6	58	0.1%
5	58	0.1%
7	45	< 0.1%
9	42	< 0.1%
8	31	< 0.1%
Other values (65)	282	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	96877	97.9%
1	917	0.9%
2	325	0.3%
3	154	0.2%
4	124	0.1%
5	58	0.1%
6	58	0.1%
7	45	< 0.1%
8	31	< 0.1%
9	42	< 0.1%

Value	Count	Frequency (%)
174	1	< 0.1%
170	1	< 0.1%
163	1	< 0.1%
152	1	< 0.1%
125	1	< 0.1%
123	1	< 0.1%
108	1	< 0.1%
106	1	< 0.1%
104	1	< 0.1%
92	1	< 0.1%

productsPassRate
Real number (ℝ_≥0)

ZEROS

Distinct	72
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.8123027307
Minimum	0
Maximum	100
Zeros	97979
Zeros (%)	99.1%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	100
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.500205194
Coefficient of variation (CV)	10.46433167
Kurtosis	114.0391218
Mean	0.8123027307
Median Absolute Deviation (MAD)	0
Skewness	10.66729865
Sum	80347.3
Variance	72.25348834
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	97979	99.1%
100	441	0.4%
66	63	0.1%
50	57	0.1%
75	42	< 0.1%
83	25	< 0.1%
90	25	< 0.1%
80	22	< 0.1%
85	20	< 0.1%
60	16	< 0.1%
Other values (62)	223	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	97979	99.1%
25	5	< 0.1%
28	2	< 0.1%
31	1	< 0.1%
33	8	< 0.1%
35	1	< 0.1%
37	2	< 0.1%
40	2	< 0.1%
41.6	1	< 0.1%
42	1	< 0.1%

Value	Count	Frequency (%)
100	441	0.4%
99	1	< 0.1%
98.7	1	< 0.1%
98	8	< 0.1%
96.4	1	< 0.1%
96.2	1	< 0.1%
96	5	< 0.1%
95	5	< 0.1%
94	8	< 0.1%
93	12	< 0.1%

productsWished
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	279
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.562595412
Minimum	0
Maximum	2635
Zeros	89612
Zeros (%)	90.6%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	2635
Range	2635
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	25.19279323
Coefficient of variation (CV)	16.12240317
Kurtosis	3369.163069
Mean	1.562595412
Median Absolute Deviation (MAD)	0
Skewness	49.25695941
Sum	154561
Variance	634.6768308
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	89612	90.6%
1	3375	3.4%
2	1339	1.4%
3	797	0.8%
4	526	0.5%
5	406	0.4%
6	299	0.3%
7	252	0.3%
8	176	0.2%
9	158	0.2%
Other values (269)	1973	2.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89612	90.6%
1	3375	3.4%
2	1339	1.4%
3	797	0.8%
4	526	0.5%
5	406	0.4%
6	299	0.3%
7	252	0.3%
8	176	0.2%
9	158	0.2%

Value	Count	Frequency (%)
2635	1	< 0.1%
1916	1	< 0.1%
1900	1	< 0.1%
1842	1	< 0.1%
1820	1	< 0.1%
1783	1	< 0.1%
1622	1	< 0.1%
1295	1	< 0.1%
1225	1	< 0.1%
1113	1	< 0.1%

productsBought
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	70
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1719288668
Minimum	0
Maximum	405
Zeros	93494
Zeros (%)	94.5%
Memory size	772.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	405
Range	405
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.332265666
Coefficient of variation (CV)	13.56529424
Kurtosis	11871.75975
Mean	0.1719288668
Median Absolute Deviation (MAD)	0
Skewness	84.79735987
Sum	17006
Variance	5.439463136
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	93494	94.5%
1	3297	3.3%
2	845	0.9%
3	364	0.4%
4	214	0.2%
5	139	0.1%
6	108	0.1%
7	65	0.1%
8	52	0.1%
9	40	< 0.1%
Other values (60)	295	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	93494	94.5%
1	3297	3.3%
2	845	0.9%
3	364	0.4%
4	214	0.2%
5	139	0.1%
6	108	0.1%
7	65	0.1%
8	52	0.1%
9	40	< 0.1%

Value	Count	Frequency (%)
405	1	< 0.1%
279	1	< 0.1%
174	1	< 0.1%
115	1	< 0.1%
105	1	< 0.1%
93	1	< 0.1%
87	1	< 0.1%
85	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%

A_user
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.1 MiB

inactive	77274
active	21639

Length

Max length	8
Median length	8
Mean length	7.562463984
Min length	6

Characters and Unicode

Total characters	748026
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	active
2nd row	active
3rd row	active
4th row	active
5th row	active

Value	Count	Frequency (%)
inactive	77274	78.1%
active	21639	21.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
inactive	77274	78.1%
active	21639	21.9%

Most occurring characters

Value	Count	Frequency (%)
i	176187	23.6%
a	98913	13.2%
c	98913	13.2%
t	98913	13.2%
v	98913	13.2%
e	98913	13.2%
n	77274	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	748026	100.0%

Most frequent character per category

Value	Count	Frequency (%)
i	176187	23.6%
a	98913	13.2%
c	98913	13.2%
t	98913	13.2%
v	98913	13.2%
e	98913	13.2%
n	77274	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	748026	100.0%

Most frequent character per script

Value	Count	Frequency (%)
i	176187	23.6%
a	98913	13.2%
c	98913	13.2%
t	98913	13.2%
v	98913	13.2%
e	98913	13.2%
n	77274	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	748026	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	176187	23.6%
a	98913	13.2%
c	98913	13.2%
t	98913	13.2%
v	98913	13.2%
e	98913	13.2%
n	77274	10.3%

Social use
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.7 MiB

non social user	83318
social user	15595

Length

Max length	15
Median length	15
Mean length	14.36934478
Min length	11

Characters and Unicode

Total characters	1421315
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	social user
2nd row	social user
3rd row	social user
4th row	social user
5th row	social user

Value	Count	Frequency (%)
non social user	83318	84.2%
social user	15595	15.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
user	98913	35.2%
social	98913	35.2%
non	83318	29.6%

Most occurring characters

Value	Count	Frequency (%)
s	197826	13.9%
o	182231	12.8%
	182231	12.8%
n	166636	11.7%
c	98913	7.0%
i	98913	7.0%
a	98913	7.0%
l	98913	7.0%
u	98913	7.0%
e	98913	7.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1239084	87.2%
Space Separator	182231	12.8%

Most frequent character per category

Value	Count	Frequency (%)
s	197826	16.0%
o	182231	14.7%
n	166636	13.4%
c	98913	8.0%
i	98913	8.0%
a	98913	8.0%
l	98913	8.0%
u	98913	8.0%
e	98913	8.0%
r	98913	8.0%

Value	Count	Frequency (%)
	182231	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1239084	87.2%
Common	182231	12.8%

Most frequent character per script

Value	Count	Frequency (%)
s	197826	16.0%
o	182231	14.7%
n	166636	13.4%
c	98913	8.0%
i	98913	8.0%
a	98913	8.0%
l	98913	8.0%
u	98913	8.0%
e	98913	8.0%
r	98913	8.0%

Value	Count	Frequency (%)
	182231	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1421315	100.0%

Most frequent character per block

Value	Count	Frequency (%)
s	197826	13.9%
o	182231	12.8%
	182231	12.8%
n	166636	11.7%
c	98913	7.0%
i	98913	7.0%
a	98913	7.0%
l	98913	7.0%
u	98913	7.0%
e	98913	7.0%

Buyer
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.2 MiB

Non buyer	93494
Buyer	5419

Length

Max length	9
Median length	9
Mean length	8.780857926
Min length	5

Characters and Unicode

Total characters	868541
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Buyer
2nd row	Non buyer
3rd row	Buyer
4th row	Non buyer
5th row	Non buyer

Value	Count	Frequency (%)
Non buyer	93494	94.5%
Buyer	5419	5.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
buyer	98913	51.4%
non	93494	48.6%

Most occurring characters

Value	Count	Frequency (%)
u	98913	11.4%
y	98913	11.4%
e	98913	11.4%
r	98913	11.4%
N	93494	10.8%
o	93494	10.8%
n	93494	10.8%
	93494	10.8%
b	93494	10.8%
B	5419	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	676134	77.8%
Uppercase Letter	98913	11.4%
Space Separator	93494	10.8%

Most frequent character per category

Value	Count	Frequency (%)
u	98913	14.6%
y	98913	14.6%
e	98913	14.6%
r	98913	14.6%
o	93494	13.8%
n	93494	13.8%
b	93494	13.8%

Value	Count	Frequency (%)
N	93494	94.5%
B	5419	5.5%

Value	Count	Frequency (%)
	93494	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	775047	89.2%
Common	93494	10.8%

Most frequent character per script

Value	Count	Frequency (%)
u	98913	12.8%
y	98913	12.8%
e	98913	12.8%
r	98913	12.8%
N	93494	12.1%
o	93494	12.1%
n	93494	12.1%
b	93494	12.1%
B	5419	0.7%

Value	Count	Frequency (%)
	93494	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	868541	100.0%

Most frequent character per block

Value	Count	Frequency (%)
u	98913	11.4%
y	98913	11.4%
e	98913	11.4%
r	98913	11.4%
N	93494	10.8%
o	93494	10.8%
n	93494	10.8%
	93494	10.8%
b	93494	10.8%
B	5419	0.6%

seller
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.3 MiB

Non seller	96877
seller	2036

Length

Max length	10
Median length	10
Mean length	9.917665019
Min length	6

Characters and Unicode

Total characters	980986
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	seller
2nd row	seller
3rd row	seller
4th row	seller
5th row	seller

Value	Count	Frequency (%)
Non seller	96877	97.9%
seller	2036	2.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
seller	98913	50.5%
non	96877	49.5%

Most occurring characters

Value	Count	Frequency (%)
e	197826	20.2%
l	197826	20.2%
s	98913	10.1%
r	98913	10.1%
N	96877	9.9%
o	96877	9.9%
n	96877	9.9%
	96877	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	787232	80.2%
Uppercase Letter	96877	9.9%
Space Separator	96877	9.9%

Most frequent character per category

Value	Count	Frequency (%)
e	197826	25.1%
l	197826	25.1%
s	98913	12.6%
r	98913	12.6%
o	96877	12.3%
n	96877	12.3%

Value	Count	Frequency (%)
N	96877	100.0%

Value	Count	Frequency (%)
	96877	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	884109	90.1%
Common	96877	9.9%

Most frequent character per script

Value	Count	Frequency (%)
e	197826	22.4%
l	197826	22.4%
s	98913	11.2%
r	98913	11.2%
N	96877	11.0%
o	96877	11.0%
n	96877	11.0%

Value	Count	Frequency (%)
	96877	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	980986	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	197826	20.2%
l	197826	20.2%
s	98913	10.1%
r	98913	10.1%
N	96877	9.9%
o	96877	9.9%
n	96877	9.9%
	96877	9.9%

Users
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 MiB

Users	98913

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	494565
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Users
2nd row	Users
3rd row	Users
4th row	Users
5th row	Users

Value	Count	Frequency (%)
Users	98913	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
users	98913	100.0%

Most occurring characters

Value	Count	Frequency (%)
s	197826	40.0%
U	98913	20.0%
e	98913	20.0%
r	98913	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	395652	80.0%
Uppercase Letter	98913	20.0%

Most frequent character per category

Value	Count	Frequency (%)
s	197826	50.0%
e	98913	25.0%
r	98913	25.0%

Value	Count	Frequency (%)
U	98913	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	494565	100.0%

Most frequent character per script

Value	Count	Frequency (%)
s	197826	40.0%
U	98913	20.0%
e	98913	20.0%
r	98913	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	494565	100.0%

Most frequent character per block

Value	Count	Frequency (%)
s	197826	40.0%
U	98913	20.0%
e	98913	20.0%
r	98913	20.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	language	socialNbFollowers	socialNbFollows	socialProductsLiked	productsListed	productsSold	productsPassRate	productsWished	productsBought	A_user	Social use	Buyer	seller	Users
0	en	147	10	77	26	174	74.0	104	1	active	social user	Buyer	seller	Users
1	en	167	8	2	19	170	99.0	0	0	active	social user	Non buyer	seller	Users
2	fr	137	13	60	33	163	94.0	10	3	active	social user	Buyer	seller	Users
3	en	131	10	14	122	152	92.0	7	0	active	social user	Non buyer	seller	Users
4	en	167	8	0	25	125	100.0	0	0	active	social user	Non buyer	seller	Users
5	de	130	12	1	47	123	91.0	0	0	active	social user	Non buyer	seller	Users
6	en	121	0	1140	31	108	94.0	531	105	active	social user	Buyer	seller	Users
7	fr	53	9	3	5	106	98.0	0	0	active	social user	Non buyer	seller	Users
8	it	744	13764	51671	0	104	85.0	1842	0	active	social user	Non buyer	seller	Users
9	en	57	8	45	123	92	74.0	6	2	active	social user	Buyer	seller	Users

Last rows

	language	socialNbFollowers	socialNbFollows	socialProductsLiked	A_user	Social use	Buyer	seller	Users
98903	es	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98904	en	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98905	en	3	8	6	active	non social user	Non buyer	Non seller	Users
98906	en	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98907	en	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98908	fr	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98909	fr	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98910	en	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98911	it	3	8	0	inactive	non social user	Non buyer	Non seller	Users
98912	fr	3	8	0	inactive	non social user	Non buyer	Non seller	Users

Most frequent

	language	socialNbFollowers	socialNbFollows	socialProductsLiked	productsWished	A_user	Social use	Buyer	seller	Users	count
144	en	3	8	0	0	inactive	non social user	Non buyer	Non seller	Users	36601
817	fr	3	8	0	0	inactive	non social user	Non buyer	Non seller	Users	18896
1135	it	3	8	0	0	inactive	non social user	Non buyer	Non seller	Users	5266
0	de	3	8	0	0	inactive	non social user	Non buyer	Non seller	Users	4690
734	es	3	8	0	0	inactive	non social user	Non buyer	Non seller	Users	4527
488	en	4	8	0	0	inactive	social user	Non buyer	Non seller	Users	2576
190	en	3	8	1	0	active	non social user	Non buyer	Non seller	Users	1552
998	fr	4	8	0	0	inactive	social user	Non buyer	Non seller	Users	1534
856	fr	3	8	1	0	active	non social user	Non buyer	Non seller	Users	739
151	en	3	8	0	1	active	non social user	Non buyer	Non seller	Users	649

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent